Allison, Jordan ORCID: 0000-0001-8513-4646 (2022) The Case for Q-Methodology in Computing Education Research. In: ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education. Association for Computing Machinery (ACM), p. 608. ISBN 9781450392006
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11215 Allison, J (2022) The-Case-for-Q-Methodology-in-Computing-Education-Research.pdf - Accepted Version Available under License All Rights Reserved. Download (119kB) | Preview |
Abstract
Q-Methodology is a useful tool to help understand differing perspectives on a topic based on how people think, as opposed to via gender, role or ethnicity. However, Q-Methodology is seldom used in computing education research despite the importance of understanding perspectives on how educational initiatives are working in such an evolving subject area. This poster therefore provides an overview of the prevalence of Q-Methodology in existing literature, and details examples of where Q-Methodology has been used successfully in computing education research, and advocates for its use in future work.
Item Type: | Book Section |
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Uncontrolled Keywords: | Q-Methodology; Computing Education Research; Computing Education; Computer Science Education; Subjectivity |
Related URLs: | |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Schools and Research Institutes > School of Business, Computing and Social Sciences |
Research Priority Areas: | Applied Business & Technology |
Depositing User: | Kate Greenaway |
Date Deposited: | 17 Jun 2022 10:01 |
Last Modified: | 31 Oct 2023 13:08 |
URI: | https://eprints.glos.ac.uk/id/eprint/11215 |
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